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Poster De Conférence Année : 2014

Human Annotation of ASR Error Regions: is "gravity" a Sharable Concept for Human Annotators?

Juliette Kahn
  • Fonction : Auteur
LNE

Résumé

This paper is concerned with human assessments of the severity of errors in ASR outputs. We did not design any guidelines so that each annotator involved in the study could consider the " seriousness " of an ASR error using their own scientific background. Eight human annotators were involved in an annotation task on three distinct corpora, one of the corpora being annotated twice, hiding this annotation in duplicate to the annotators. None of the computed results (inter-annotator agreement, edit distance, majority annotation) allow any strong correlation between the considered criteria and the level of seriousness to be shown, which underlines the difficulty for a human to determine whether a ASR error is serious or not.
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Dates et versions

hal-01134802 , version 1 (24-03-2015)

Identifiants

  • HAL Id : hal-01134802 , version 1

Citer

Daniel Luzzati, Cyril Grouin, Ioana Vasilescu, Martine Adda-Decker, Eric Bilinski, et al.. Human Annotation of ASR Error Regions: is "gravity" a Sharable Concept for Human Annotators?. Ninth International Conference on Language Resources and Evaluation (LREC'14), May 2014, Reykjavik, Iceland. , Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pp.3050-3056, 2014. ⟨hal-01134802⟩
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